Abstract

The working principles of networks can easily achieved by using wireless spoofing attacks. Because of the cryptographic authentication and usual security approaches, their transparency requirements are not always desirable. In this paper, find the existence of attacks as well as find out the number of adversaries, spoofing the same sensor node identity. To detect the spoofing attacks and identifying the number of attackers, received signal strength (RSS) and a multiclass detection problem is used. Cluster-based mechanisms are constructed to determine the number of intruders. Support Vector Machines (SVM) method is used to get better the accuracy of finding the number of intruders. The positions of multiple Intruders can restrict by integrated detection method. Our tentative results and Identification results proves that our procedure can obtain over 95 per cent Hit Rate and obtain high rate of identifying multiple adversaries.